Topographical effects of climate dataset and their impacts on the estimation of regional net primary productivity

L. Qing Sun; Feng X. Feng

doi:10.1117/12.2068642

8 November 2014 Topographical effects of climate dataset and their impacts on the estimation of regional net primary productivity

L. Qing Sun, Feng X. Feng

Author Affiliations +

Proceedings Volume 9260, Land Surface Remote Sensing II; 92602R (2014) https://doi.org/10.1117/12.2068642
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

In this study, we first built and compared two different climate datasets for Wuling mountainous area in 2010, one of which considered topographical effects during the ANUSPLIN interpolation was referred as terrain-based climate dataset, while the other one did not was called ordinary climate dataset. Then, we quantified the topographical effects of climatic inputs on NPP estimation by inputting two different climate datasets to the same ecosystem model, the Boreal Ecosystem Productivity Simulator (BEPS), to evaluate the importance of considering relief when estimating NPP. Finally, we found the primary contributing variables to the topographical effects through a series of experiments given an overall accuracy of the model output for NPP. The results showed that: (1) The terrain-based climate dataset presented more reliable topographic information and had closer agreements with the station dataset than the ordinary climate dataset at successive time series of 365 days in terms of the daily mean values. (2) On average, ordinary climate dataset underestimated NPP by 12.5% compared with terrain-based climate dataset over the whole study area. (3) The primary climate variables contributing to the topographical effects of climatic inputs for Wuling mountainous area were temperatures, which suggest that it is necessary to correct temperature differences for estimating NPP accurately in such a complex terrain.

Citation Download Citation

L. Qing Sun and Feng X. Feng "Topographical effects of climate dataset and their impacts on the estimation of regional net primary productivity", Proc. SPIE 9260, Land Surface Remote Sensing II, 92602R (8 November 2014); https://doi.org/10.1117/12.2068642

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